Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID:

Abstract

BACKGROUND: Deep learning is promising to predict treatment response. We aimed to evaluate and validate the predictive performance of the CT-based model using deep learning features for predicting pathologic complete response to neoadjuvant chemoradiotherapy (nCRT) in esophageal squamous cell carcinoma (ESCC).

Authors

  • Yihuai Hu
    Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Guangdong Esophageal Cancer Institute, Guangzhou, China.
  • Chenyi Xie
    Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
  • Hong Yang
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China.
  • Joshua W K Ho
    Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia, St Vincent's Clinical School, University of New South Wales Australia, Darlinghurst, NSW 2010, Australia.
  • Jing Wen
    Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Lujun Han
    State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Ka-On Lam
    Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
  • Ian Y H Wong
    Department of Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
  • Simon Y K Law
    Department of Surgery, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
  • Keith W H Chiu
    Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
  • Varut Vardhanabhuti
    Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Jianhua Fu
    Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Guangdong Esophageal Cancer Institute, Guangzhou, China. Electronic address: fu_jh@outlook.com.